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Senior Analyst, Data Science

Location: New York, NY.
Company Description:

Merkle is a leading data-driven, technology-enabled, global performance marketing agency that specializes in the delivery of unique, personalized customer experiences across platforms and devices. For more than 30 years, Fortune 1000 companies and leading nonprofit organizations have partnered with Merkle to maximize the value of their customer portfolios. The agency’s heritage in data, technology, and analytics forms the foundation for its unmatched skills in understanding consumer insights that drive people-based marketing strategies. Its combined strengths in performance media, customer experience, customer relationship management, loyalty, and enterprise marketing technology drive improved marketing results and competitive advantage. With 9,600+ employees, Merkle is headquartered in Columbia, Maryland, with 50+ additional offices throughout the US, EMEA, and APAC. In 2016, the agency joined the Dentsu Aegis Network. For more information, contact Merkle at 1-877-9-Merkle or visit www.merkleinc.com.

We are champions for meaningful progress and we strive to be a force for good—for our people, for our clients, for the industry and for our society. We keep our people at the center, creating space for growth, understanding and learning so they can thrive. We embed diversity, in our mindset, in our solutions and in our teams to empower an inclusive, equitable and culturally fluent environment. Building this culture within our teams makes us better collaborators with each other and with our clients, driving better outcomes for all. Merkle is an agency of dentsu.

Job Description:

The Senior Analyst will be challenged with analyzing relational database and transactional information to support a variety of marketing initiatives, such as statistical modeling and segmentation, campaign planning and performance analysis, KPI reporting and monitoring, and ways to drive more personalized 1:1 marketing efforts leveraging a variety of data types and sources.  

The role will revolve around the application of advanced analytical techniques to drive and enhance the client’s marketing performance across their multi-brand portfolio.  To succeed in this role, the senior analyst is expected to demonstrate strategic thinking, logical reasoning, strong communication and presentation skills, outstanding analytic skills, and the ability to resolve complex issues.  Strong preference for resources in NYC.

Responsibilities:

•Execute a wide variety of analytics projects including predictive modeling, customer profiling, lifecycle analysis, campaign test design and analysis, dashboard reporting, market basket analysis, product recommendations, and customer segmentation
•Extract and process large quantities of data from data warehouses and other data marts in support of assignments
•Analyze marketing metrics to identify cause-effect relationships between marketing levers and outcomes
•Data mining and analysis, including the ability to independently QA database information and analytics outputs and drive platform enhancements via communication and requirements documentation for technology teams
•Build predictive models to drive customer acquisition and retention
•Turn complex data into practical and actionable marketing insights
•Develop test designs to support one-time and longitudinal test plans
•Support development of efficient and accurate project management plans for project delivery

Qualifications:

•Experience with MS Office (Word, Excel, PowerPoint, Outlook) required
•Proficiency with multiple analytics tools required (SAS, SQL, Python, etc.);  R or Python strongly preferred
•Understanding of relational databases and transactional data required
•Hands-on experience with BI or digital analytics tools (Tableau, TIBCO Spotfire, Micro strategy, Adobe analytics, Adobe Audience Manager, Google analytics, other DMP insight tools) preferred
•Must have experience with statistical concepts and applying statistical techniques such as regression, ANOVA, cluster analysis, factor analysis, time series forecasting, machine learning, and experimental design
•Ability to discover hidden insights or complex patterns through advanced multi-variate data mining techniques on un-structured business problems
•Strong written, communication, and presentation skills

•Bachelor's Degree (B.S.) in statistics, math, economics or related quantitative field required;  Advanced degree (M.A., M.S., Ph.D.) preferred

•Minimum of 2 years of experience in quantitative and analytics related fields. Media and marketing related experience preferred.

Additional Information:

Merkle fosters a diverse environment that encourages original thinking about our business and empowers us to communicate with a global world of customers. We embrace differences of opinion and diversity of thought as they help us challenge and refine our solutions. Merkle, as a best-in-class marketing agency, welcomes big ideas, and believes they can come from anywhere. 

All your information will be kept confidential according to EEO guidelines.

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More Information:

Graduate Opportunities: Whether you're still studying, recently graduated or are already working and fancy a career hop, we could have a perfect opportunity for you.
Experienced Hires: Leverage your expertise, challenge the status quo and grow your career at Merkle.